A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection

4 July 2024

Papers citing "A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection"

7 / 7 papers shown

Title
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network Sehan Samarakoon Yushan Siriwardhana P. Porambage Madhusanka Liyanage Sang-Yoon Chang Jinoh Kim Jong-Hoi Kim M. Ylianttila 78 76 0 02 Dec 2022
Explaining Network Intrusion Detection System Using Explainable AI Framework Shraddha Mane Dattaraj J. Rao AAML 51 71 0 12 Mar 2021
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 91 321 0 27 May 2019
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 115 2,354 0 01 Nov 2017
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Oscar Li Hao Liu Chaofan Chen Cynthia Rudin 176 590 0 13 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016